Metadata-Version: 2.1
Name: clickpoints
Version: 1.10.0
Summary: Scientific toolbox for manual and automatic image evaluation.
Home-page: https://github.com/fabrylab/clickpoints
License: GPLv3
Author: Richard Gerum
Author-email: richard.gerum@fau.de
Maintainer: Alexander Winterl
Maintainer-email: alexander.winterl@fau.de
Requires-Python: >=3.8,<4.0
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Provides-Extra: docs
Requires-Dist: Pillow
Requires-Dist: PyQt5
Requires-Dist: QtAwesome
Requires-Dist: QtPy
Requires-Dist: imagecodecs
Requires-Dist: imageio (>=2.0.1)
Requires-Dist: imageio-ffmpeg
Requires-Dist: matplotlib
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Requires-Dist: psutil
Requires-Dist: python-dateutil (>=2.8.1)
Requires-Dist: qasync
Requires-Dist: qimage2ndarray
Requires-Dist: scikit-image (>=0.14)
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Requires-Dist: tifffile (>=2020.2.16)
Project-URL: Documentation, https://clickpoints.readthedocs.io/
Project-URL: Repository, https://github.com/fabrylab/clickpoints
Description-Content-Type: text/x-rst

.. -*- mode: rst -*-

|ClickPoints|

.. |ClickPoints| image:: https://github.com/fabrylab/clickpoints/blob/master/docs/images/Logo.png

|DOC|_  |Python36| |License|_ |DOI|_

.. |DOC| image:: https://readthedocs.org/projects/clickpoints/badge/
.. _DOC: http://clickpoints.readthedocs.io

.. |Python36| image:: https://img.shields.io/badge/python-3.6-blue.svg

.. |License| image:: https://img.shields.io/badge/License-GPLv3-blue.svg
.. _License: http://www.gnu.org/licenses/gpl-3.0.html

.. |DOI| image:: https://img.shields.io/badge/DOI-10.1111/2041--210X.12702-blue.svg
.. _DOI: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12702/full

Click Points is a program written in the Python programming language, which serves on the one hand as an image viewer and on the other hand as an data display and annotation tool. Every frame can be annotated by a description, marked points/tracks, or marked areas (paint brush). This helps to view image data, do manual evaluation of data, helps to create semi-automatic evaluation or display the results of automatic image evaluation.

Please refere to our `Documentation <http://clickpoints.readthedocs.io/en/latest/>`_ for more information and instructions on installing it.

